This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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This is a hybrid technical and commercial role that requires you to drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be responsible for becoming the post-sale technical lead across all Databricks products and using your skills and technical credibility to engage and communicate at all levels with an organization.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
• Executive and operational governance
• Providing internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

Key qualifications include:

• 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program or project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. You will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be the post-sale technical lead across all Databricks products, requiring you to use your skills and technical credibility to engage and communicate at all levels with an organization.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, often services multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

Main use cases moving from 'win' to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g., cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

Requirements include:

• 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program or project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

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